This banner text can have markup.
This repository contains example notebooks demonstrating the Azure Machine Learning Python SDK which allows you to build, train, deploy and manage machine learning solutions using Azure. The AML SDK allows you the choice of using local or cloud compute resources, while managing and maintaining the complete data science workflow from the cloud.
shpip install azureml-sdkRead more detailed instructions on how to set up your environment using Azure Notebook service, your own Jupyter notebook server, or Docker.
If you are using an Azure Machine Learning Notebook VM, you are all set. Otherwise, you should always run the Configuration notebook first when setting up a notebook library on a new machine or in a new environment. It configures your notebook library to connect to an Azure Machine Learning workspace, and sets up your workspace and compute to be used by many of the other examples. This index should assist in navigating the Azure Machine Learning notebook samples and encourage efficient retrieval of topics and content.
If you want to...
The How to use Azure ML folder contains specific examples demonstrating the features of the Azure Machine Learning SDK
Visit following repos to see projects contributed by Azure ML users: - AMLSamples Number of end-to-end examples, including face recognition, predictive maintenance, customer churn and sentiment analysis. - Learn about Natural Language Processing best practices using Azure Machine Learning service - Pre-Train BERT models using Azure Machine Learning service - Fashion MNIST with Azure ML SDK - UMass Amherst Student Samples - A number of end-to-end machine learning notebooks, including machine translation, image classification, and customer churn, created by students in the 696DS course at UMass Amherst.
This repository collects usage data and sends it to Mircosoft to help improve our products and services. Read Microsoft's privacy statement to learn more
To opt out of tracking, please go to the raw markdown or .ipynb files and remove the following line of code:
sh "![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/README.png)"This URL will be slightly different depending on the file.
git clone Azure-MachineLearningNotebooks_-_2020-03-23_23-49-28.bundle